Correlation does not imply causation
A popular phrase tossed around when we talk about statistical data is “there is correlation between variables”. However, many people wrongly consider this to be the e...
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Understanding machine learning #3: Confusion matrix – not all errors are equal
One of the most typical tasks in machine learning is classification tasks. It may seem that evaluating the effectiveness of such a model is easy. Let’s assume that we h...
Measuring Similarity between Objects
The ability to recognize objects and their relationships is at the core of intelligent behavior. This, in turn, depend on one’s ability of perceiving similarity or di...
R for SQListas (2): Forecasting the Future
R for SQListas, part 2 Welcome to part 2 of my “R for SQListas” series. Last time, it was all about how to get started with R if you’re a SQL girl (or guy)- and tha...
Machine learning as a service ? Might lose sleep over this !
This post is ‘not’ intended to teach people how to use popular predictive modelling APIs for free. Although, to your surprise, this isn’t a far fe...
Who Made the News? Text Analysis using R, in 7 steps
This post covers the following tasks using R programming: cleans the texts, sorts and aggregates by publisher names creates word clouds and word associations The dataset ...
3 challenges when migrating to cloud-based project management software
If you were to ask people whose work revolves around business technology, they would probably describe this as the Times of the Great Migration. The migration in question...
What is Deep Learning?
Remember how you started recognizing fruits, animals, cars and for that matter any other object by looking at them from our childhood? Our brain gets trained over the y...
Neural Networks: The Backpropagation algorithm in a picture
Here I present the backpropagation algorithm for a continuous target variable and no activation function in hidden layer: although simpler than the one used for the logis...